Dharan
TITLE PRESENTATION ON
DESIGN AND FABRICATION OF IOT BASED DATA LOGGER AND REAL TIME MONOITORING SYSTEM FOR PV
SYSTEM
TEAM MEMBERS:
SUBMITTED TO:
Bikesh Tajpuriya[PUR078BELO13]
DEPARTMENT OF ELECTRICAL ENGINEERING
Raj Kumar Yadav[PUR078BEL031]
Hom Narayan Rouniyar[PUR078BEL021]
Rajan Yadav[PUR078BEL032] DATE:16/03/2082
TABLE OF CONTENTS
1. Abstract
2. Introduction
3. Applications
4. Objectives
5. Literature Review
6. Methodology
7. Advantages And Limitations
8. Work schedule
9. Budget Estimation
10. Expected Outcomes
11. References
ABSTRACT
This project focuses on design and development of a low cost data logger and real time monitoring system
for photovoltaic (PV)system using Arduino UNO microcontroller.
Monitors voltage and current of PV and Load , panel temperature and irradiance using sensors respectively.
Uses storage device such as EEPROM(SD CARD) for storing acquired data.
INTRODUCTION
• PV system is a technology that converts
sunlight(solar radiation) directly into electricity
using solar cells(or photo voltaic).These systems are
used for green (or renewable) energy generations.
• Data Logger is an electronic device that
automatically records data over time from connected
sensors. In this project it acquires electrical and
environmental parameters of a PV system.
• PV system requires regular and accurate monitoring
of multiple parameters such as voltage ,current,
temperature and irradiance.
APPLICATIONS
• Enables real-time monitoring of power output, voltage, current, irradiance and temperature helping
identify underperformance and faults early.
• Stores data for analysis and performance optimization.
• Ideal for rural, off-grid, or developing-region deployments where autonomous, low-cost systems
are crucial.
• Include wireless (Wi-Fi, GPRS) modules for remote data access, alerts, and predictive
maintenance.
• Supports energy auditing and metering.
OBJECTIVES
• Provide low cost, accurate and autonomous monitoring of PV systems.
• Operate with low power consumption, suitable for remote/off-grid locations.
• Facilitates data recording for system analysis.
• Enable real time data visualization.
LITERATURE REVIEW
1. Vivar et al. (2014) – Low-cost Arduino Logger (Elsevier)
• Arduino-based logger complying with IEC61724 standards.
• Used SD card, RTC, and sensors for offline PV monitoring.
• Achieved professional-level accuracy.
• Flexible, low-cost solution for remote deployment.
2.Nyoman Sugiartha et al. (2018) – SHS PV Monitoring (Elsevier)
• Arduino Mega2560 with voltage/current sensors and LCD.
• Logged data every 10 minutes using SD card.
• Reliable acquisition for off-grid solar systems.
3.Design of PV Data Logger (2019) – ResearchGate
• Measured voltage, current, and energy from two PV panels.
• Used SD card and Bluetooth for offline and mobile data access.
• Simple C++ code in Arduino IDE.
4.Arduino Logger for PV (2018) – ResearchGate
• Measured voltage, current, and energy from two PV panels.
• Used SD card and Bluetooth for offline and mobile data access.
• Simple C++ code in Arduino IDE.
5.Hakim et al. (2021) – Excel Integrated Logger (Springer)
• Used Excel Data Streamer for live PV data monitoring.
• Logged voltage, current, temperature, and irradiance.
• Enabled trend detection and fault analysis.
METHODOLOGY
The system is designed around the Arduino UNO microcontroller, which integrates with various
sensors to measure voltage, current, temperature, and irradiance from the PV system. Data from these
sensors is periodically collected and stored in an EEPROM or SD card module. Simultaneously, a
wireless module (Node MCU) facilitates real-time transmission of data to a remote server or mobile
application.
Procedure:
The overall process includes:
1. Sensing electrical and environmental parameters.
2. Signal conditioning and conversion for accurate readings.
3. Data logging with timestamp using RTC module.
4. Wireless transmission of data through Wi-Fi (Node MCU).
5. Display and storage of real-time and historical data.
6. Power supplied through a 5W PV panel, regulated via charge controller and
stored in battery.
System Architecture
The system architecture includes:
• Power Source (Solar Panel with Charge Controller)
• Arduino UNO for central control
• Sensors (Voltage, Current, Temperature, Irradiance)
• EEPROM / SD Card for data logging
• Node MCU Wi-Fi module for real-time data transmission
• Load management via relay module
• Display interface (mobile app or dashboard)
• Battery backup system
BLOCK DIAGRAM OF SYSTEM
RTC
Wi-Fi Module
PV Voltage Sensor SD Card Module
System And
Load Arduino UNO
Current Sensor
Microcontroller
Temp. Sensor Monitoring Via
Mobile App
LDR Sensor
Power Source
FUNCTIONAL DIAGRAM
PV Module Charge Controller Battery
Temperature
Sensor
DC Current Inverter AC Load
Sensor
DC Voltage
Sensor
Data Logger
AC Current
Sensor
AC Voltage
Sensor
FLOW CHART
Start
Input Wi-Fi
NO YES
Correct? Initialize Wi-Fi
NO
YES
Input From Connecte
Sensors d
Read Sensor Values Store Data In EEPROM
Delay 15s
Display
End
ADVANTAGES
• Low-cost and energy-efficient
• Modular and scalable
• Real-time monitoring and remote access
• Ideal for rural/off-grid areas
• Tracking of system uptime
LIMITATIONS
• Wi-Fi coverage limits in remote areas
• Accuracy dependent on sensor calibration
• Limited storage capacity
USES CASE SCENARIOS
• 1.Rural Electrification Projects: Ideal for monitoring solar-powered
homes or schools in remote areas.
• 2.Off-Grid Telecommunication Towers: Real-time energy performance
tracking to ensure uptime.
• 3.Solar Street Lighting Systems: Monitor performance, identify faults
early.
• 4.Microgrid Installations: Useful for energy audits and load profiling.
• 5.Research Projects: Academic use for solar energy experiments and
data analysis.
WORK SCHEDULE
Gantt Chart
BUDGET ESTIMATION
S.no Name Of Components Quantity Unit Price[NPR] Total Cost[NPR]
1. Solar Panel[5W] 1 3000 3000
2. Charge Controller 1 2000 2000
3. Inverter 1 1500 1500
4. Arduino UNO 1 1500 1500
5. NODE MCU [Wi-Fi Module] 1 500 500
6. EEPROM[AT24C256] 1 200 200
7. AC CT Module[] 1 300 300
8. AC Voltage Sensor[ZMPT101B] 1 300 300
9. DC Current Sensor 1 200 200
10. DC Voltage Sensor 1 200 200
11. Temperature Sensor[DS18B20] 1 200 200
12. LDR Sensor 1 200 200
13. Battery[12v,70Ah] 1 1500 1500
14. SD Card Module {optional} 1 300 300
15. Jumper Wires As required 300 300
Grand Total 14 12,200 12,200
EXPECTED OUTCOMES
• Offline data logging with RTC-based timestamping.
• Online data transfer via Wi-Fi or GSM modules.
• Accuracy within ±1–5%.
• Real-time display via mobile apps.
• Low-cost, scalable, and modular system.
• Field-ready for remote or off-grid deployment.
REFERENCES
• Vivar et al. (2014), Elsevier:
https://www.sciencedirect.com/science/article/abs/pii/S0927024814004310
• Nyoman Sugiartha et al. (2018), Elsevier
• Data Logger Design (2019), ResearchGate
• Arduino PV Logger (2018), ResearchGate
• Hakim et al. (2021), Springer: https://www.ejece.org/index.php/ejece/article/view/622
THANK YOU!!!
